Liangming Pan

Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 LEDOM: Reverse Language Model ACL 2026 Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures ACL 2026 RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios ACL 2025 Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework ACL 2025 Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning AAAI 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark EMNLP 2025 Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025 SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation ACL 2025 InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025 AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge ACL 2025 CausalEval: Towards Better Causal Reasoning in Language Models NAACL 2025 TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning NAACL 2025 Investigating the Transferability of Code Repair for Low-Resource Programming Languages NAACL 2025 MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NIPS 2024 Faithful Logical Reasoning via Symbolic Chain-of-Thought ACL 2024 Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement ACL 2024 Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution ACL 2024 The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024 Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion ACL 2024 Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024 AKEW: Assessing Knowledge Editing in the Wild EMNLP 2024 SciAgent: Tool-augmented Language Models for Scientific Reasoning EMNLP 2024 MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate EMNLP 2024 A Survey on Detection of LLMs-Generated Content EMNLP 2024 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024 Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation ICML 2024 Position: AI/ML Influencers Have a Place in the Academic Process ICML 2024 MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models EMNLP 2023 FollowupQG: Towards information-seeking follow-up question generation AACL 2023 SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables EMNLP 2023 Fact-Checking Complex Claims with Program-Guided Reasoning ACL 2023 FollowupQG: Towards information-seeking follow-up question generation IJCNLP 2023 Doolittle: Benchmarks and Corpora for Academic Writing Formalization EMNLP 2023 QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking EMNLP 2023 On the Risk of Misinformation Pollution with Large Language Models EMNLP 2023 Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning EMNLP 2023 Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation ACL 2023 INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback EMNLP 2023 Attacking Open-domain Question Answering by Injecting Misinformation IJCNLP 2023 Attacking Open-domain Question Answering by Injecting Misinformation AACL 2023 Investigating Zero- and Few-shot Generalization in Fact Verification AACL 2023 Investigating Zero- and Few-shot Generalization in Fact Verification IJCNLP 2023 KHANQ: A Dataset for Generating Deep Questions in Education COLING 2022 Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022 KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ACL 2022 Automatic True/False Question Generation for Educational Purpose NAACL 2022 CoHS-CQG: Context and History Selection for Conversational Question Generation COLING 2022 Zero-shot Fact Verification by Claim Generation IJCNLP 2021 Zero-shot Fact Verification by Claim Generation ACL 2021 Unsupervised Multi-hop Question Answering by Question Generation NAACL 2021 Semantic Graphs for Generating Deep Questions ACL 2020 Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP 2020 Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020 Hyperbolic Visual Embedding Learning for Zero-Shot Recognition CVPR 2020 Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network AAAI 2020 Exploring Question-Specific Rewards for Generating Deep Questions COLING 2020 Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017